diff --git a/bob/bio/base/extractor/Linearize.py b/bob/bio/base/extractor/Linearize.py
index 27c5ea23821a6a0b14ffaca5f746bb8e506ff7c3..d854303ec75892711164839c2078586c3a5d5c41 100644
--- a/bob/bio/base/extractor/Linearize.py
+++ b/bob/bio/base/extractor/Linearize.py
@@ -32,7 +32,7 @@ class Linearize(Extractor):
 
         data : 1D :py:class:`numpy.ndarray`
           The extracted feature vector, of the desired ``dtype`` (if specified).
-        """
+        """        
         assert isinstance(data, numpy.ndarray)
 
         linear = numpy.reshape(data, data.size)
diff --git a/bob/bio/base/transformers/preprocessor.py b/bob/bio/base/transformers/preprocessor.py
index f91c563cfd8c060531d814e6a40cf13a56cfb7d0..03f1e150ab58fd29b6717c833d887ef3dc9b5bf5 100644
--- a/bob/bio/base/transformers/preprocessor.py
+++ b/bob/bio/base/transformers/preprocessor.py
@@ -4,6 +4,7 @@
 from sklearn.base import TransformerMixin, BaseEstimator
 from bob.bio.base.preprocessor import Preprocessor
 
+
 class PreprocessorTransformer(TransformerMixin, BaseEstimator):
     """
     Scikit learn transformer for :any:`bob.bio.base.preprocessor.Preprocessor`.
@@ -18,13 +19,13 @@ class PreprocessorTransformer(TransformerMixin, BaseEstimator):
     """
 
     def __init__(
-        self,
-        instance,
-        **kwargs,
+        self, instance, **kwargs,
     ):
 
         if not isinstance(instance, Preprocessor):
-            raise ValueError("`instance` should be an instance of `bob.bio.base.preprocessor.Preprocessor`")
+            raise ValueError(
+                "`instance` should be an instance of `bob.bio.base.preprocessor.Preprocessor`"
+            )
 
         self.instance = instance
         super().__init__(**kwargs)